Mote-scale human-animal classification via micropower radar. - Jin He; Dhrubojyoti Roy; Michael A. McGrath; Anish Arora (SenSys, 2014)

Cross-Environmentally Robust Intruder Discrimination in Radar Motes. - Dhrubojyoti Roy; Christopher Morse; Michael A. McGrath; Jin He; Anish Arora (MASS, 2017)

EdgeL^3: Compressing L^3-Net for Mote Scale Urban Noise Monitoring. - Sangeeta Kumari; Dhrubojyoti Roy; Mark Cartwright; Juan Pablo Bello; Anish Arora (IPDPS Workshops, 2019)

Lightweight, Deep RNNs for Radar Classification. - Dhrubojyoti Roy; Sangeeta Srivastava; Pranshu Jain; Aditya Kusupati; Manik Varma; Anish Arora (BuildSys, 2019)

Achieving Throughput via Fine-Grained Path Planning in Small World DTNs. - Dhrubojyoti Roy; Mukundan Sridharan; Satyajeet Deshpande; Anish Arora (CoRR, 2019)

Specialized Embedding Approximation for Edge Intelligence: A Case Study in Urban Sound Classification. - Sangeeta Srivastava; Dhrubojyoti Roy; Mark Cartwright; Juan Pablo Bello; Anish Arora (ICASSP, 2021)

One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. - Dhrubojyoti Roy; Sangeeta Srivastava; Aditya Kusupati; Pranshu Jain; Manik Varma; Anish Arora (ACM Trans. Sens. Networks, 2021)

Infrastructure-free, Deep Learned Urban Noise Monitoring at 100mW. - Jihoon Yun; Sangeeta Srivastava; Dhrubojyoti Roy; Nathan Stohs; Charlie Mydlarz; Mahin Salman; Bea Steers; Juan Pablo Bello; Anish Arora (ICCPS, 2022)

MUDAS: Mote-scale Unsupervised Domain Adaptation in Multi-label Sound Classification. - Jihoon Yun; Chengzhang Li; Dhrubojyoti Roy; Anish Arora (CoRR, 2025)